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Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 89, Issue 5, 2014, Pages

  Frahm, Klaus M ^a   Eom, Young Ho ^a   Shepelyansky, Dima L ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; FRACTAL DIMENSION; NUMERICAL METHODS;

COMPLEX EIGENVALUES; INFLUENCE DOMAINS; INFORMATION FLOWS; NUMERICAL PROBLEMS; PERRON-FROBENIUS OPERATOR; RANDOM MATRIX MODEL; STATISTICAL DISTRIBUTION; STATISTICAL PROPERTIES;

EIGENVALUES AND EIGENFUNCTIONS;

EID: 84902007584     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.89.052814     Document Type: Article

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46. In Ref. [19] a set of vectors without this prefactor was used, but this provided a representation matrix which is numerically unstable for a direct diagonalization. The prefactor (Equation presented) ensures that the representation matrix is numerically (rather) stable, and of course both matrices are mathematically related by a similarity transformation and have identical eigenvalues.
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